Lohith Kumar Kasula

Data Scientist

India4 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

4.4 years of experience in AI and Data Science.
Expert in Machine Learning and Deep Learning frameworks.
Proven track record in automation and testing for automotive systems.

Stackforce AI infers this person is a Data Science and AI Engineering specialist with a focus on automotive and IoT industries.

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Skills

Core Skills

Software DevelopmentMachine Learning

Other Skills

PandasNumPyPython automationLinuxTensorFlowYOLOLSTMResNetMobileNetManual TestingDeep LearningGenerative AIConvolutional Neural Networks (CNN)Transfer LearningEmbeddings

About

Results-driven AI Engineer and Data Scientist with 4.4 years of professional experience in software Engineering and data-driven problem-solving. Skilled in designing, developing, and deploying intelligent systems that leverage Machine Learning, Deep Learning, and Data Analytics to deliver business insights and automation. Completed M.S. in Data Science and Machine Learning (2025) from Woolf University, with a strong foundation in Python, AI model development, and end-to-end ML pipelines. Previously worked with leading organizations including Capgemini Engineering, Mirafra Technologies, and Harman Connected Services, contributing to impactful projects in software engineering and AI-driven innovation.Holding a Bachelor’s degree in Electronics and Communication Engineering (2019), I bring a unique blend of analytical thinking, technical expertise, and hands-on experience. Passionate about advancing in AI Engineering and Data Science.

Experience

4 yrs 3 mos

Total Experience

1 yr 4 mos

Average Tenure

2 mos

Current Experience

Knight fintech

Data Scientist

Apr 2026 – Present · 2 mos · Mumbai · On-site

Imerit scholars

Generative AI Engineer

Feb 2026 – Present · 4 mos · California, United States · Remote

Harman international

Senior Software Developer

Jul 2023 – Jun 2024 · 11 mos · On-site

PandasNumPySoftware Development

Mirafra technologies

Software Engineer II (Client: Qualcomm)

Nov 2021 – Jun 2023 · 1 yr 7 mos · Bangalore Urban, Karnataka, India

Project Summary:
Worked with Qualcomm – Automotive IVI SNPE & QNN Team, focusing on ML model validation and automated testing for major automotive clients (Volvo, Ford, Aptiv, Bosch). Hands-on experience across Linux, Ubuntu, Android/ADB, QNX, Hypervisors (HQX & HOS), and LA Metal environments.
Responsibilities:
Executed comprehensive test automation and validation for SNPE/QNN frameworks, ensuring high reliability across automotive IVI systems.
Performed Sanity, Accuracy, Performance, and Stress Testing on models such as TensorFlow, YOLO, LSTM, ResNet, MobileNet, etc., on diverse processors (CPU, GPU, DSP, AIP).
Identified, analyzed, and reported issues when:
Core functionalities failed
Model accuracy/performance didn’t meet target thresholds
System exhibited crash, hang, or instability under stress runs
Authored test cases, playlists, and coverage reports, and published results via Axiom.
Compiled ML models using respective Qualcomm SDKs to validate compatibility and performance.
Automated processes including dynamic JSON generation, metrics extraction (FPS, latency, stress logs) into Excel with openpyxl, and troubleshooting automation failures.

Python automationLinuxTensorFlowYOLOLSTMResNet+2

Capgemini engineering

2 roles

Software Engineer (Client: Intel)

Feb 2021 – Oct 2021 · 8 mos · Bangalore Urban, Karnataka, India

Project: Scalable Test Automation Framework (STAR) – Intel (Client)
Summary:
Worked on Intel’s IoT validation program to build scalable and reusable automation solutions for Linux and Windows operating systems across multiple IoTG platforms.
Key Responsibilities:
Performed manual and automated testing on both Linux and Windows OS for IoT devices.
Automated workflows such as hardware flashing, host system bring-up, and NVR (Network Video Recorder) use-case validation.
Contributed to building a reusable automation framework addressing common requirements across multiple IoTG validation teams and platforms.
Collaborated with cross-functional teams to streamline automation processes and enhance test coverage.
Worked with tools including PyCharm, GitLab, Mobaxterm, WinSCP, and VNC Viewer.

Manual TestingPython automationSoftware Development